Research on Oil Monitoring of Heavy Vehicles Based on Information Entropy Theory

Xue Gong Liu; Zhan Guo Li; Zha La Wang

doi:10.4028/www.scientific.net/AMR.314-316.1391

Paper Titles

Study on Full-Field Stress Analysis for Composite Material Structure Using Lock-in Thermography
p.1372

Comparative Experimental Analysis of Different Bending Methods for the Mechanical Characterization of Materials with Previous Loading History (Stress-Strain Curves)
p.1377

Anti-Friction Mechanism of FeS Layer as Solid Lubrication Cmposite Coating Produced by Low-Temperature Ion Sulfurization
p.1383

Effect of Modulation Frequency on Detecting Metal Materials with Microcracks Based on Ultrasound Infrared Lock-in Thermography
p.1387

Research on Oil Monitoring of Heavy Vehicles Based on Information Entropy Theory
p.1391

Design and Lubricating Property Research on Radial Supporting Bearing of Marine Main Thrust Bearing
p.1396

Research on the Tack Value of Offset Printing Ink
p.1401

The Influence of Humid Environment on Fatigue Property of Pre-Corroded 7XXX Aluminum Alloy
p.1406

Influence of Milling Process on Internal Stress Measurement in Thick Plate
p.1411

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 314-316Research on Oil Monitoring of Heavy Vehicles Based...

Research on Oil Monitoring of Heavy Vehicles Based on Information Entropy Theory

Abstract:

This paper is mainly about the experiment research of oil monitoring for a kind of special heavy vehicle’s transmission system. The wear elements in lubrication oil of a heavy vehicle’s transmission system were analyzed by the spectroscopic analysis method, and gear’s wear status was studied. Probability density function and probability distribution function of wear information about the elements in lubricating oil were calculated by the maximum entropy theory. The running cut-off point is obtained for diagnostic criteria of the vehicle’s failure, which provided evidence for monitoring and judging the reliability of the vehicle’s wear.

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Advanced Manufacturing Technology, ADME 2011

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Periodical:

Advanced Materials Research (Volumes 314-316)

Pages:

1391-1395

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.314-316.1391

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Online since:

August 2011

Authors:

Xue Gong Liu, Zhan Guo Li, Zha La Wang

Keywords:

Heavy Vehicles, Maximum Entropy, Spectroscopic Analysis, Transmission System (TS)

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